Nikhil Panchal

Developed and optimized predictive machine learning models for vehicle preconditioning, reducing heating/cooling times by 15% and enhancing energy efficiency. Performed in-depth signal analysis of internal vehicle data to extract critical features for model input. Developed real-time monitoring dashboards using Vector tools (CANape, CANoe) to improve debugging and performance analysis of ML models. Integrated ML algorithms into the AUTOSAR environment ensuring robust compatibility within vehicle architectures. Conducted rigorous testing and validation of ML algorithms in simulated AUTOSAR networks, resolving performance issues across multiple scenarios. Documented data analysis, model implementation, and testing processes to ensure knowledge transfer and scalability.

Supported data processing applications using SQL and ABAP, focusing on test automation and data quality improvements. Maintained technical documentation to ensure compliance with internal quality standards and enhance consistency across the development workflows.

Collaborated with business stakeholders to optimize SAP BW/HANA data models, improving data accuracy and scalability. Developed and maintained SAP BW/HANA solutions including DSOs, InfoCubes, and process chains to enhance analytics. Created and optimized ABAP routines to resolve data discrepancies and improve system accuracy and performance.